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Volume 1 · No. 2 · December 2010 V o lu m e 1 · N o ... - IMA Fungus

Volume 1 · No. 2 · December 2010 V o lu m e 1 · N o ... - IMA Fungus

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Modelling fungal colonies and communities: challenges and opportunities<br />

rapidly increasing computing power, and faster algorithms<br />

for reconstruction and data processing make large vo<strong>lu</strong>me<br />

scanning at high reso<strong>lu</strong>tions feasible. The state-of-the-art<br />

equipment at the UGCT (Centre for X-ray Tomography at<br />

Ghent University) is highly flexible, with in-house developed<br />

software for scanner control, sample reconstruction,<br />

analysis, and visualisation. This set-up allows scanning<br />

with a reso<strong>lu</strong>tion of 0.2 mm for samples of 37 cm in<br />

diameter down to approximately 400 nm for objects about<br />

the size of a splinter. As such, apart from visualisation, 3D<br />

quantitative information can be retrieved from objects with<br />

a broad range of sizes. Sub-micron reso<strong>lu</strong>tion scanning<br />

should enable the visualisation of fungal hyphae and by<br />

using time-lapse tomography the growth of these tubular<br />

structures could be monitored (van den Bulcke et al. 2009).<br />

The latter procedure however has associated challenges.<br />

First, fungal growth can interfere with scanning during<br />

moderately long scan times. Second, with lab-based X-ray<br />

sources, polychromatic X-rays, scattering, f<strong>lu</strong>orescence and<br />

noise disturb the ideal acquisition (Vidal et al. 2005). Third,<br />

at sub-micron reso<strong>lu</strong>tion phase contrast emerges especially<br />

at sharp edges, complicating thresholding and segmentation.<br />

Fourth, tube shift during long scans at sub-micron reso<strong>lu</strong>tion<br />

can reduce image quality. Fifth, hyphal tubes are hollow<br />

thin-walled structures, as such having a very low X-ray<br />

attenuation. A drastic so<strong>lu</strong>tion to some of the problems is the<br />

use of synchrotron radiation, having a monochromatic X-ray<br />

bundle, allowing faster scanning with less heating of the<br />

samples, but access to such facilities is a major bottleneck.<br />

Especially the available beam time is limited and as such<br />

this is not an option for long-running experiments, of the<br />

order of days to weeks, and for repeated experiments. Many<br />

of the aforementioned problems are handled at the UGCT<br />

facility. Post-processing can contribute to the enhancement<br />

of image quality; the phase contrast phenomenon can<br />

be solved using dedicated filtering (Boone et al. 2009, De<br />

Witte et al. 2009); and tube shift can be counteracted with<br />

correction software. Proper scanning and processing can<br />

result in the visualization of fungal hyphae as il<strong>lu</strong>strated in<br />

Fig. 2, obtained after scanning of a piece of Pinus sylvestris<br />

subjected to white-rot. In order to study pigmented species<br />

with rather large hyphal structures, such as Aureobasidium<br />

pul<strong>lu</strong>lans (van den Bulcke et al. 2008), visualization is easier<br />

due to X-ray interference of the pigment. Apart from individual<br />

hypha tracking, processing of X-ray vo<strong>lu</strong>mes should enable<br />

the quantification of the effects of material degradation on<br />

different spatial scales, which might be an important concept<br />

to implement a degradation monitoring system. With the<br />

existing scanners, frequent scanning and quantification<br />

of degradation or hyphal biomass on a larger spatial scale<br />

will be a very va<strong>lu</strong>able tool for non-destructive time-lapse<br />

analysis. Advanced algorithms implementing X-ray physics<br />

during reconstruction will increase image quality, whereas<br />

more advanced image processing code will improve<br />

quantitative results. The field of X-ray tomography, both hardand<br />

software, is rapidly evolving and therefore is promising<br />

for in situ fungal monitoring and quantification in wood and<br />

perhaps soil systems in the near future, in addition to other<br />

modalities such as confocal laser microscopy (Hickey et al.<br />

2005) and magnetic resonance imaging (Müller et al. 2002).<br />

Next-generation computational<br />

approaches<br />

Our ability to exploit the experimental advantages described<br />

above is currently constrained by the limited scales at which<br />

existing simulation technologies are able to operate. For<br />

example, in spite of data at larger scales, in Falconer et al.<br />

(<strong>2010</strong>) we use a domain size for the soil/fungal interactions<br />

of approx 1 cm 3 with a voxel reso<strong>lu</strong>tion of 30 microns; for<br />

predictions to be useful we need to work at, at the very<br />

ARTICLE<br />

Fig. 2. (a) Three dimensional<br />

rendering of hyphal tubes of a white<br />

rot fungus winding around a small<br />

piece of Pinus sylvestris in contact<br />

with malt extract agar (filling some<br />

cell <strong>lu</strong>mina). (b) Cross-sectional and<br />

(c) longitudinal view il<strong>lu</strong>strating the<br />

high anatomical detail. Bar = 200<br />

µm; voxel size 0.79 µm.<br />

v o l u m e 1 · n o . 2 <br />

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